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Graphical model
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#	Item
91	Variational Inference with Normalizing Flows Danilo Jimenez Rezende Shakir Mohamed Google DeepMind, London Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:47 Statistics Probability Statistical models Graphical models Probability distributions Variational Bayesian methods Bayesian network Expectationmaximization algorithm Normal distribution Mixture model Exponential family Bayesian inference
92	Tutorial 1 Getting Started Objective The following tutorial is a step-by-step introduction to the basics of SimulationX. First, you get an overview of the graphical user interface (GUI) with the help of an example model Add to Reading List Source URL: www.itisim.com Language: English
93	A Junction Tree Framework for Undirected Graphical Model Selection Divyanshu Vats1 Electrical and Computer Engineering Rice University Add to Reading List Source URL: nowak.ece.wisc.edu Language: English - Date: 2013-04-17 20:48:48
94	Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler New York University {tompson, ajain, yann, bregler}@cs.nyu.edu Add to Reading List Source URL: www.cims.nyu.edu Language: English - Date: 2014-09-17 20:01:13
95	Graphical Models for Graph Matching Tib´erio S. Caetano†‡ ,Terry Caelli† and Dante A. C. Barone‡ †Department of Computing Science University of Alberta Edmonton, AB, Canada, T6G 2E8 ‡Instituto de Inform´ati Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2008-05-10 06:35:21 Graph operations Graphical model Tree decomposition Tree Matching Graph theory Theoretical computer science Mathematics
96	Steffen L. Lauritzen Elements of Graphical Models Lectures from the XXXVIth International Probability Summer School in Saint-Flour, France, 2006 Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2011-09-04 13:19:40 Graph theory Probability and statistics Statistical models Networks Probability theory Bayesian network Factor graph Belief propagation Markov model Statistics Graphical models Bayesian statistics
97	Catching Up Faster in Bayesian Model Selection and Model Averaging (T61) Peter Gru¨ nwald Tim van Erven 1. Introduction & Summary Add to Reading List Source URL: www.timvanerven.nl Language: English - Date: 2012-06-05 11:28:52 Statistical inference Bayesian inference Markov models Markov chain Akaike information criterion Bayes factor Estimation theory Graphical model Expectation–maximization algorithm Statistics Bayesian statistics Model selection
98	UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL INSTITUTO DE INFORMÁTICA PROGRAMA DE PÓS-GRADUAÇÃO EM COMPUTAÇÃO TIBÉRIO SILVA CAETANO Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2008-05-10 06:34:52 Graphical model Markov random field Matching Graph factorization Graph Graph theory Mathematics Theoretical computer science
99	Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining Approach Add to Reading List Source URL: www.cs.uu.nl Language: English - Date: 2011-02-16 08:30:43 Graphical models Networks Bayesian network Group theory Machine learning Subgroup Statistics Bayesian statistics Statistical models
100	Anticipated Utility and Rational Expectations as Approximations of Bayesian Decision Making ∗ Timothy Cogley† Thomas J. Sargent‡ Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:55 Markov models Markov processes Statistical models Markov chain Conjugate prior Sufficient statistic Graphical model Statistics Bayesian statistics Statistical theory

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